The relationship between traditional Chinese medicine syndrome types,blood pressure variability,and cardiovascular events during hospitalization in patients with acute myocardial infarction
Objective:To explore the relationship between traditional Chinese medicine syndrome types,24-hour blood pressure variability(BPV),and major adverse cardiovascular events(MACE)during hospitalization in patients with acute myocardial infarction(A MI).Methods:We extracted clinical data of patients with AMI ad-mitted to the Coronary Heart Disease Intensive Care Unit,assessed BPV by using the average real variability(ARV),and calculated 24-hour ARV(24hARV)based on patients'blood pressure data on the first day of ad-mission.The patients were divided into MACE group and N-MACE group based on whether they had MACE.We explored whether there were differences in age,sex,24hARV,traditional Chinese medicine syndrome types,and laboratory indicators between the two groups of patients.Using MACE as the outcome indicator,logistic re-gression analysis was adopted to analyze the relationship between 24hARV and MACE in patients with AMI.Results:The distribution of traditional Chinese medicine syndrome types in AMI patients was as follows:Qi de-ficiency and blood stasis＞Qi yin deficiency＞Phlegm and blood stasis intertwined＞Qi stagnation and blood stasis＞Cold coagulation of heart meridians.There was a statistical difference in the incidence of MACE between the Qi deficiency and blood stasis group and the Qi yin deficiency and blood stasis group(P＜0.05)compared to the phlegm stasis group and the Qi stagnation and blood stasis group.There were no significant correlation be-tween 24-hour systolic blood pressure ARV(24hSBPARV)and diastolic blood pressure ARV(24hDBPARV)and the incidence of MACE during hospitalization in patients with AMI(P＞0.05).Conclusion:Qi deficiency and blood stasis syndrome is the main syndrome type of patients with AMI,and AMI patients with deficiency syn-drome are more prone to MACE.
acute myocardial infarctiontraditional Chinese medicine syndrome typeblood pressure variabili-tycardiovascular events
万方数据
维普
